Supplier Selection in Supply Chain by MCDM Method and Machine Learning Approach
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 43
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شناسه ملی سند علمی:
JR_BGS-4-1_003
تاریخ نمایه سازی: 16 بهمن 1402
چکیده مقاله:
In today's highly competitive business environment, effective supplier selection plays a crucial role in the success of supply chain management. This paper aims to provide an in-depth analysis of supplier selection methodologies within the supply chain context, with a focus on Multi-Criteria Decision-Making (MCDM) methods. The study explores various MCDM techniques and their application in supplier selection, highlighting their benefits and limitations. Additionally, numerical results from a case study are presented to demonstrate the practicality and effectiveness of the MCDM approach. The findings of this research contribute to the existing body of knowledge on supplier selection methods and provide insights for supply chain managers.In today's highly competitive business environment, effective supplier selection plays a crucial role in the success of supply chain management. This paper aims to provide an in-depth analysis of supplier selection methodologies within the supply chain context, with a focus on Multi-Criteria Decision-Making (MCDM) methods. The study explores various MCDM techniques and their application in supplier selection, highlighting their benefits and limitations. Additionally, numerical results from a case study are presented to demonstrate the practicality and effectiveness of the MCDM approach. The findings of this research contribute to the existing body of knowledge on supplier selection methods and provide insights for supply chain managers.
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نویسندگان
Lee Hu Cheni
Faculty of Computer Science and Information System, Universiti Teknologi MARA (UiTM), Malaysia
Lixiau Zhing Tai
Faculty of Computer Science and Information System, Universiti Teknologi MARA (UiTM), Malaysia